Experience with clustering and predictive modeling
The International Rescue Committee seeks a Machine Learning Consultant to apply unsupervised learning and predictive modeling to improve humanitarian program targeting
Job Summary
The International Rescue Committee seeks a Machine Learning Consultant to apply unsupervised learning and predictive modeling to improve humanitarian program targeting.
The role involves conducting needs assessment clustering, developing predictive models for client outcomes, and creating operational tools within the IRC's existing Databricks and Power BI infrastructure.
Candidates must produce a methodological guide for Regional Measurement Advisers to enable future data-driven decision-making across global country programs.
Matching Summary
The International Rescue Committee seeks a Machine Learning Consultant to apply unsupervised learning and predictive modeling to improve humanitarian program targeting.
Salary
Daily rate in USD; Not specified; Not specified
Skills & Requirements
Must-have
Advanced degree in data science or related field
Proficiency in R or Python programming
Experience with clustering and predictive modeling
Ability to work with messy administrative data
Nice-to-have
Experience with Databricks infrastructure
Familiarity with humanitarian sector contexts
Knowledge of Multilevel Regression and Post-stratification
Strong technical writing for non-specialists
Key Requirements
Master's or PhD in quantitative field
Demonstrated experience with real-world datasets
Proven ability to translate findings for non-specialist audiences